Descriptive analysis

Descriptive Epidemiological Analysis of Lyme disease Lyme disease is a spirochetal infection, which is transmitted by the bite of infected Ixodes ricinus complex ticks. It is brought about essentially by Borrelia burgdorferi in the United States. Lyme disease was initially perceived clinically in 1977 as "Lyme arthritis" amid investigations of a group of youngsters in Connecticut who were thought to have adolescent rheumatoid joint inflammation. The etiology of Lyme disease was found to be a spirochete

Prescriptive Analysis – Moving beyond Predictive Analysis Big Data is becoming more meaningful with the ever more powerful data technologies, which enable us to derive insights from the data and help us make decisions. Big Data also creates new courses and professional fields such as the data science and data scientist, which are aimed at analyzing the ever growing volume of data. Some might think this exaggerated because data analysis, after all, not a new invention. However, we might all agree

Q1. When would you use descriptive over inferential statistics? Provide a specific scenario and explain your rationale. "Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data" (Understanding descriptive and inferential statistics, 2012, Laerd). Examples of descriptive statistics include an analysis of central tendency (the position of most members of the group in

3.9 Data Processing and analysis. The unit of analysis was the individual mobile phone service subscriber. Data were analyzed in two major stages, that is, through descriptive statistics and specific tests of hypothesis. Cross tabulation was used to analyze demographic variability of the respondents. Descriptive statistics including measures of central tendencies, measures of dispersion, frequencies and percentages were calculated to examine the respondents’ characteristics. These statistics showed

From a conceptual point of view, discourse analysis in international relations has outlined a common set of standards for the other fields of language and social sciences. Discourse is a rather new field of analysis in the world of social research, and it does not yet have a precise and compact theoretical body. Accordingly, discourse analysis has to rely on the practices and concepts taken from other fields such as sociology, semantics, psychology, linguistics etc. Due to its vast source of knowledge

Descriptive design is accurate to analyze this study because the subjects here are measured once only. Whereas, in experimental research, subjects are to be measured before and after conducting the treatment. Here in this study the researcher establishes an association between nurses who work in night shifts and nurses who work in regular day shifts to assess the level of depression. In a descriptive study the behavior or conditions cannot be changed

Annex A Basic Analysis | | Reciprocating | Scroll | All | Average Price | Europe | $ 31,31 | $ 38,60 | $ 32,28 |   | Latin | $ 38,71 | Does not exist | $ 38,71 |   | North | $ 32,43 | $ 34,69 | $ 33,11 |   | Total | $ 33,73 | $ 35,67 | $ 34,08 | Average Volume | Europe | 111.307,69 | 88

Measures of association are a type of descriptive statistic used in order to find any variables that are related to each other. The associations created by chance among variables tend to decrease in a larger sample size. There are three components to measures of association; the direction of the association, the strength of the association, and the statistical significance of the association. Depending on what is being measured it is important to choose the correct method for determining associations

problems can be researched by using descriptive statistical and inferential methods. Data collection instruments and various sampling methods are essential tools for business research. This paper will discuss use of inferential and descriptive methods for solving business problems within insurance. “Descriptive statistics are used to describe the basic features of the data in a study…which provide summaries about the sample and the measures. With descriptive statistics you are simply describing

sample of 50 credit card consumers presenting information on the annual income (referred as Income), size of household (referred as Household), and the annual credit card charges (referred as Charges) for these consumers. A statistical analysis; including a descriptive, simple regression, and multiple regression tests, of this data was performed and the findings are presented below. Due to the